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KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 7 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
SIGMOD
2004
ACM
163views Database» more  SIGMOD 2004»
16 years 7 months ago
Rank-aware Query Optimization
Ranking is an important property that needs to be fully supported by current relational query engines. Recently, several rank-join query operators have been proposed based on rank...
Ihab F. Ilyas, Rahul Shah, Walid G. Aref, Jeffrey ...
POPL
2010
ACM
16 years 4 months ago
Generating Compiler Optimizations from Proofs
We present an automated technique for generating compiler optimizations from examples of concrete programs before and after improvements have been made to them. The key technical ...
Ross Tate, Michael Stepp, Sorin Lerner
IPSN
2010
Springer
16 years 2 months ago
Bayesian optimization for sensor set selection
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
Roman Garnett, Michael A. Osborne, Stephen J. Robe...
ESA
2009
Springer
139views Algorithms» more  ESA 2009»
16 years 1 months ago
Optimality and Competitiveness of Exploring Polygons by Mobile Robots
Abstract. A mobile robot, represented by a point moving along a polygonal line in the plane, has to explore an unknown polygon and return to the starting point. The robot has a sen...
Jurek Czyzowicz, Arnaud Labourel, Andrzej Pelc